Normality and Homogeneity THE RES ULT OF S TUDY

62 class is 7, and the interval of these scores is 6. Histogram and polygon are presented in figure 11. Table 10. Frequency Distribution of data B 2 Class limits Class boundaries M idpoint Tally Frequency Percentage 35 - 41 34.5 – 41.5 38 IIII I 6 54.54 42 - 48 41.5 – 48.5 45 IIII I 6 54.54 49 – 55 48.5 – 55.5 52 IIII I 6 54.54 56 - 62 56.5 – 62.5 59 III 3 27.27 63 - 69 62.5 – 69.5 66 I 1 9.09 22 100 Class Limits 66 Fr e q u e n cy 7 6 59 45 52 Group B Ї 5 38 35 4 1 3 2 Figure 11. Histogram and Polygon of data B 2

B. Normality and Homogeneity

63 The tests that have to be done before analyzing data are normality and homogeneity. The normality test is to check whether the data are in normal distribution or not. And the homogeneity is applied to find out whether the data are homogeneous or not. This test is important because homogeneity of the data shows that the population is well-formed. 1. Normality test If L o L obtained is lower than L t L table at the level of significance α=0.05 on Liliefors, the sample is in normal distribution. The formula used in this testing is: √ ̅ a. Cell A 1 B 1 . In this cell, that contains 11 students having high intelligence who are taught by using reciprocal teaching n = 11, the highest value of FZ i -SF i or L o is 0.142. L t at the level of significance α=0.05 is 0. 249. Because L o is lower than L t 0.142 0.249, it can be concluded that the sample is in normal distribution. b. Cell A 2 B 1 . In the cell A 2 B 1 , that contains 11 students having high intelligence who are taught by using direct instructional n = 11, the highest value of FZ i -SF i or L o is 0.175. L t at the level of significance α=0.05 is 0.249. Because L o is 64 lower than L t 0.175 0.249, it can be concluded that the sample is in normal distribution. c. Cell A 1 B 2 . In the cell A 1 B 2 , that contains 11 students having low intelligence who are taught by using reciprocal teaching n = 11, the highest value of FZ i -SF i or L o is 0.184. L t at the level of significance α=0.05 is 0.249. Because L o is lower than L t 0.184 0.2492, it can be concluded that the sample is in normal distribution. d. Cell A 2 B 2 . In the cell A 2 B 2 , that contains 11 students having low intelligence who are taught by using direct instructional n = 11, the highest value of FZ i -SF i or L o is 0.171. L t at the level of significance α=0.05 is 0.249. Because L o is lower than L t 0.1710.249, it can be concluded that the sample is in normal distribution. e. Cell A 1 . In the cell A 1 , that contains 22 who are taught by using reciprocal teaching n = 22, the highest value of FZ i -SF i or L o is 0.145. L t at the level of significance α=0.05 is 0.190. Because L o is lower than L t 0.145 0.186, it can be concluded that the sample is in normal distribution. f. Cell A 2 . In the cell A 2 , that contains 22 students who are taught by using direct instructional n = 22, the highest value of FZ i -SF i or L o is 0.096. L t at the 65 level of significance α=0.05 is 0.190. Because L o is lower than L t 0.096 0.0.186, it can be concluded that the sample is in normal distribution. g. Cell B 1 . In the cell B 1 , that contains 22 students who are having high intelligence n = 22, the highest value of FZ i -SF i or L o is 0.151. L t at the level of significance α=0.05 is 0.186. Because L o is lower than L t 0.151 0.0.186, it can be concluded that the sample is in normal distribution. h. Cell B 2 . In the cell B 2 , that contains 22 students who are having low intelligence n = 22, the highest value of FZ i -SF i or L o is 0.146. L t at the level of significance α=0.05 is 0.185. Because L o is lower than L t 0.146 0.0.186, it can be concluded that the sample is in normal distribution. Table 11. The Normality Test . No Data The Number of sample L Obtained L o L Table L t Alfa Distribution of Population 1 2 3 4 5 6 7 8 A 1 B 1 A 2 B 1 A 1 B 2 A 2 B 2 A 1 A 2 B 1 B 2 11 11 11 11 22 22 22 22 0.142 0.175 0.184 0.171 0.145 0.096 0.151 0.145 0.249 0.249 0.249 0.249 0.186 0.186 0.186 0.186 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Normal Normal Normal Normal Normal Normal Normal Normal 2. Homogeneity Test 66 The testing is done to find out whether the data are homogeneous. This test is important because homogeneity of the data shows that the population is well- formed. To test homogeneity of data, test is used. If 2 o  is lower than 2 t  at the level of significance α=0.05, the data are homogeneous. Table 12. Homogeneity Test Group n i – 1 1 n i – 1 s i 2 Lns i 2 n i – 1 Lns i 2 1 10 0.1 40.273 3.696 36.957 2 10 0.1 19.473 2.969 29.690 3 10 0.1 57.655 4.054 40.545 4 10 0.1 54.655 4.001 40.010 40 0.4 147.202  2 =                              k N 1 1 n 1 1 k 3 1 1 s ln 1 n B i 2 i i =                 40 1 4 . 1 4 3 1 1 202 . 147 461 . 150 = 3.128  2 0. 05 = 7.815 Because 2 o  3.128 is lower than 815 . 7 2 t  , the data are homogeneous.

C. Data Analysis